Docs

Eight pages. Read them in this order if you are new, or jump straight to the one that answers your question.

Pages

For agents

If you are an AI agent reading this to decide whether to use RCLL, go to rcll.ai/agents.md — it is written for you rather than for a human, and it is the canonical instruction set. The machine-readable index is /llms.txt; the whole site as one file is /llms-full.txt.

Status

The source is public and MIT-licensed. The canonical repository is godcrm.ai/git/holetron-lab/fleet-memory, hosted on the same infrastructure we run the store on and cloneable anonymously; github.com/holetron-lab/fleet-memory is a read-only mirror of it, and that is where issues and stars go. Either clone gives you the same tree — a fork of Hindsight, with the branch point and the patch series written down in FORK.md rather than left for you to reconstruct.

Two hosts for one repository is not redundancy theatre: nothing in RCLL's own chain — store, engine, embeddings, now the source — depends on a service we do not run. A pull request opened on the mirror is still welcome, but it is merged on the canonical side, because the next sync overwrites whatever the mirror's own merge button did.

The first release is out. fleet-memory-mcp 0.1.0 is on npm — built and signed by CI, with provenance you can verify yourself (npm audit signatures) rather than take from us — so npx fleet-memory-mcp installs a working server. The deprecated 0.0.0 under it in the version list is a placeholder, published for one reason: npm will not attach a trusted publisher to a package name that does not exist yet, so the first version could not itself be the CI-signed one. Two things are still not shipped: no container image is pushed to any registry, so a container deployment means building from the tree, and RCLL is not in the MCP registry yet. This site is the canonical place where either of those will show up first.